The new enlightenment hypothesis: All learners are rational

2009 ◽  
Vol 32 (2) ◽  
pp. 219-220
Author(s):  
Rita Nolan
Keyword(s):  
Input And Output ◽  
Algorithmic Model ◽  
Essential Assumption

AbstractThe proposal to recruit available formal structures to build an algorithmic model of all learning falters on close examination of its essential assumption: that the input and output of the model are propositional in structure. After giving three framework considerations, I describe three possibly fatal problems with this assumption, concluding each with a question that needs answering to avoid fatality.

A Structured Method for the Recognition of Complex Historical Tables

1997 ◽  
Vol 9 (1-3) ◽  
pp. 58-77
Author(s):  
Vitaly Kliatskine ◽  
Eugene Shchepin ◽  
Gunnar Thorvaldsen ◽  
Konstantin Zingerman ◽  
Valery Lazarev
Keyword(s):  
Nineteenth Century ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Complex Structure ◽  
Source Material ◽  
Historical Sources ◽  
Tax Assessment ◽  
Optical Character ◽  
Algorithmic Model ◽  
Machine Readable

In principle, printed source material should be made machine-readable with systems for Optical Character Recognition, rather than being typed once more. Offthe-shelf commercial OCR programs tend, however, to be inadequate for lists with a complex layout. The tax assessment lists that assess most nineteenth century farms in Norway, constitute one example among a series of valuable sources which can only be interpreted successfully with specially designed OCR software. This paper considers the problems involved in the recognition of material with a complex table structure, outlining a new algorithmic model based on ‘linked hierarchies’. Within the scope of this model, a variety of tables and layouts can be described and recognized. The ‘linked hierarchies’ model has been implemented in the ‘CRIPT’ OCR software system, which successfully reads tables with a complex structure from several different historical sources.

Estimating Pigment Concentrations from Spectral Images Using an Encoder‐Decoder Neural Network

2020 ◽  
Vol 64 (3) ◽  
pp. 30502-1-30502-15
Author(s):  
Kensuke Fukumoto ◽  
Norimichi Tsumura ◽  
Roy Berns
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Absorption Coefficient ◽  
Spectral Data ◽  
High Accuracy ◽  
Pigment Concentration ◽  
Scattering Coefficient ◽  
A Value ◽  
Input And Output ◽  
Pigment Concentrations

Abstract A method is proposed to estimate the concentration of pigments mixed in a painting, using the encoder‐decoder model of neural networks. The model is trained to output a value that is the same as its input, and its middle output extracts a certain feature as compressed information about the input. In this instance, the input and output are spectral data of a painting. The model is trained with pigment concentration as the middle output. A dataset containing the scattering coefficient and absorption coefficient of each of 19 pigments was used. The Kubelka‐Munk theory was applied to the coefficients to obtain many patterns of synthetic spectral data, which were used for training. The proposed method was tested using spectral images of 33 paintings, which showed that the method estimates, with high accuracy, the concentrations that have a similar spectrum of the target pigments.

DESAIN WEBSITE PEMESANAN JASA PERAWATAN KECANTIKAN DAN PENJUALAN PRODUK KECANTIKAN PADA GONOVA BEAUTY CARE

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Jordan Frankl Pasaribu ◽  
RinRin Meilani Salim ◽  
Zulpa Salsabila
Keyword(s):  
System Development ◽  
Care Services ◽  
Development Methodology ◽  
Input And Output ◽  
Development Life Cycle ◽  
Traditional Process ◽  
Beauty Care ◽  
Bootstrap Application ◽  
Beauty Products ◽  
New System

Gonova Beauty Care is a beauty clinic that offers various types of beauty care services, consultations and beauty products, which was established on September 14, 2016. Where all transaction activities at the clinic still use the traditional process where customers must first come to the clinic. To help overcome the problem in Gonova Beauty Care, the author tries to analyze and design a new system using the system development methodology, namely the System Development Life Cycle (SDLC) method. The proposed new system is based on the website to manage transactions that occur at the clinic and can make it easier for customers to place an order. The website is designed to serve the transaction of sales of beauty products and ordering beauty services. The design of this system uses the Bootstrap application for input and output design.Keywords: Website, Gonova Beauty Care, Order Service, Selling Beauty Products

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